Tag: Azure

In a previous post, covering Python on Azure, Nina Zakharenko and Carlton Gibson showed us how to set up a Python application with Django REST Framework and develop with Visual Studio Code. Now they are back to teach us how to deploy a Python app built on Django to the cloud using Azure Web Apps.

Carlton Gibson, Django Software Fellow and Django maintainer, joins Nina Zakharenko to show how to set up a Python application with Django REST Framework and develop with Visual Studio Code, from installing the Python extensión to using the integrated terminal and debugging. Visual Studio Code is free and open source, and runs on macOS, Linux and Windows.

Customizing the Web UI has never been easier with the recently released in code walkthroughs. Follow along in this video as Olivier and the team customize an out of the box solution remote monitoring solution and make it our own.

Fresh off the Connect() 2018 conference, here’s a video summarizing what’s new in CosmosDB for developers.

In case you’re not aware of Cosmos DB, Azure Cosmos DB is a globally distributed, highly-available, multi-model database service. In this video, join us as we demonstrate how to get started with our new SDKs, make the most of database-level throughput, and set up a CI/CD pipeline using the Azure Cosmos DB emulator build task for Azure Pipelines.

There’s not much more that I can add to the description of this video:

Oh no! Pizza cat is having a hard time knowing if his pizzas are being delivered purr-fectly. Customers have been complaining about cold pizzas being delivered to the wrong houses! Come see how Pizza Cat uses a Remote Monitoring solution to save his Pizza company.

In this episode of the IoT Show, Lyrana Hughes shows how the core spatial intelligence capabilities of Azure Digital Twins power the Smart Hotel 360 demo and shares where you can access the demo content on GitHub so you can start building your own solution.

Data engineering is about 70% of any data pipeline today, and without having the experience to implement a data engineering pipeline well, there is no value to be accumulated from your data.

In this session from Microsoft Ignite we discuss the best practices and demonstrate how a data engineer can develop and orchestrate the big data pipeline, including: data ingestion and orchestration using Azure Data Factory; data curation, cleansing and transformation using Azure Databricks; data loading into Azure SQL Data Warehouse for serving your BI tools.

Watch and learn how to effectively do the ETL/ELT process combined with advanced capabilities such as monitoring the jobs, getting alerts, jobs retrial, set permissions, and much more.

Computer Vision made easy: from pre-trained models to custom ones, Cognitive Services has you covered.

In this video, Kelly Freed, PM on the Azure Cognitive Services team, and learn about the latest technologies in Computer Vision such as analyzing images, extracting insights from your pictures and videos, recognizing common objects, and more.

In the fourth episode of this series, Dmirty and Suz connect the smart home device to the outside world for monitoring purposes. The temperature readings from the climate sensor can be pushed to Azure IoT Hub for consumption by cloud based software, such as Azure IoT Central.

A walkthrough of both these Azure services will be conducted, featuring both code and high level architectural explanations. Some example scenarios will be covered to give you an overview of the practical applications of monitoring telemetry from smart devices.